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Home / Journals / ENERGY / Online First / doi:10.32604/ee.2025.073805
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Bi-Objective Optimization of Distribution Network Reliability Enhancement Using Quantitative Decomposition

Chenying Yi1, Yangjun Zhou1,2, Wei Zhang1, Like Gao1, Hongwen Wu3, Yuanchao Zhou4,*, Ke Zhou1, Weixiang Huang1, Juntao Pan5, Shan Li1, Bin Feng5
1 Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment, Electric Power Research Institute of Guangxi Power Grid Co., Ltd., Nanning, 530001, China
2 School of Electrical Engineering, Chongqing University, Chongqing, 400044, China
3 Wuzhou Power Supply Bureau of Guangxi Power Grid Co., Ltd., Wuzhou, 543099, China
4 Nanning Power Supply Bureau of Guangxi Power Grid Co., Ltd., Nanning, 530031, China
5 Guangxi Power Grid Co., Ltd., Nanning, 530015, China
* Corresponding Author: Yuanchao Zhou. Email: email
(This article belongs to the Special Issue: Innovations and Challenges in Smart Grid Technologies)

Energy Engineering https://doi.org/10.32604/ee.2025.073805

Received 25 September 2025; Accepted 24 November 2025; Published online 19 December 2025

Abstract

Ensuring reliability in distribution networks is essential under increasing operational and economic constraints. Traditional planning models rely on power flow calculations, leading to high computational costs and poor scalability. This study proposes a quantitative decomposition framework that establishes a direct linkage among reliability improvement measures, reliability parameters, and reliability indices, enabling fast and analytical reliability evaluation without power flow analysis. A bi-objective optimization model is developed to minimize both reliability indices (SAIDI) and investment costs, solved using Pareto-based multi-objective PSO combined with the TOPSIS method. Case studies on a 519-node distribution network demonstrate that the proposed approach achieves significant reliability improvement with superior computational efficiency, offering a practical and scalable tool for reliability-oriented distribution planning.

Keywords

Distribution network; reliability improvement measures; quantitative analysis; optimization decision

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